The Problem How It Works Our Model FAQ Let's Talk
For CRO CFO CEO Board PE Firms Investors
Your forecast
is confident.
Your pipeline is not.

Revenue protection, 19 days before the damage is done. The independent signal layer that reads buyer behavior your CRM was never built to track.

How We Modeled It →
↓61%
Forecast accuracy by 2026Gartner CRM 2026
19 Days
Avg CRM lag on deal decayClari Revenue Leak 2025
$4.2M
Revenue projected recoverableVirtual pilot · 240 deals
$82K
Wasted per missed $100K dealClari Revenue Leak 2025

The Paradox

More tools. More AI.
Less revenue certainty.

Your Investment ↑ Rising

CRM Market Spend$87.9B → $128.9B
Sales Tools Per Team6 → 12 tools
AI SDR Adoption65% of companies

Your Results ↓ Collapsing

Forecast Accuracy
72%61%↓15%
Pipeline Conversion Rate
28%19%↓32%
Quarters With Revenue Miss
35%48%↑37%

Root Cause

Revenue dies
19 days
before your
forecast knows.

$82K
Wasted per missed $100K deal
73%
Deals salvageable at 20-day notice
18%
Deals salvageable at 5-day notice
48h
Bizwinner target: first alert from first signal

The Solution

One layer of truth.
On top of your whole stack.

01
Read-Only Integration
Non-invasive. Connects to your CRM, email, and engagement tools. Nothing changes in your workflow.
02
Track 23 Buyer Signals
Monitors buyer behavior — not rep activity. Silence, drift, and disengagement are the real signals.
03
Detect Decay (>3σ deviation)
Statistical anomaly detection fires the moment a deal breaks from baseline — weeks before stage change.
04
Alert & Prescribe Action
Named deal. Named risk. Named next step. Not a dashboard — a directive you can act on today.

What we do — and what we don't.

  • Detect buyer silence & drag — signals CRMs cannot track
  • Alert before CRM stage change — avg 19 days early
  • Track forecast outcome accuracy — rep-level, deal-level
  • Give CFOs an independent signal — not rep-reported data
  • Does not replace your CRM
  • Does not automate outreach
  • Does not require IT involvement

Works on top of your existing stack

Salesforce HubSpot Outreach Gong

Signal Intelligence

23 signals your CRM
was never built to see.

Engagement Decay
Buyer Going Dark
  • Champion last touch >14 days
  • Email response time ↑3× baseline
  • "Pause" or "circle back" language detected
  • Meeting cancellation streak
Stakeholder Risk
Power Shift
  • Economic buyer engagement ↓60% from peak
  • Legal review stalled >7 days
  • Champion title change via LinkedIn
  • New stakeholder added late-stage
Timeline Drift
Deadline Decay
  • Close date pushed 2+ times
  • Demo → proposal gap >2× average
  • Competitor mentioned or comparison spike
  • Procurement stall pattern detected

Virtual Pilot Simulation

Modeled on real deals.
Honest about what we know.

Virtual Pilot — Projections, not live customer results
$4.2M
Revenue Projected Recoverable
Modeled across 240 simulated deals
~54%
Projected Deal Save Rate
Based on 20-day early detection
23
Buyer Signals Tracked
Engagement, stakeholder & timeline
48h
Target Alert Speed
From first signal to notification

How we built these projections: We ran Bizwinner's 23-signal detection algorithm against 240 real-world deal patterns sourced from published Clari, Gong, and Pavilion RevOps benchmark datasets. We measured how early each decay type would have been detected, then calculated recovery rates using the industry-validated 73% salvage rate at 20-day notice. These are model projections — not live customer outcomes. We will only publish verified numbers once design partners validate them with real pipelines. We are seeking 10 design partners to run that first live validation.

You're losing deals you don't even know are at risk.

We're inviting 10 revenue leaders to find out exactly which ones — and save them before the quarter ends.

  • Read-only integration. No workflow change, no CRM disruption.
  • Full alert transparency. You see exactly what fires and why.
  • Shape the product. Your feedback directly influences the roadmap.
  • Founding pricing locked. The lowest price we'll ever charge.
  • No commitment until you see value. We earn the contract.

Questions

What revenue leaders ask before they talk to us.

Answers written for CROs, CFOs, CEOs, and investors.

Not marketing copy. If your question isn't answered here, email directly.

Ask something else →
Revenue decay detection monitors buyer behavior signals — not rep activity — to identify at-risk B2B deals before they fail. Unlike CRM stage changes (which are logged after the fact by reps), decay detection tracks buyer silence, stakeholder disengagement, and procurement stalls in real time. Bizwinner detects these signals an average of 19 days before your CRM reflects them — giving you the intervention window that makes the difference between a saved deal and a missed quarter.
CRMs are rep-reported systems. A rep updates a stage when they decide to — not when the buyer disengages. When your champion goes silent, procurement stalls, or a competitor enters the conversation — none of that is automatically captured. The result is a structural 19-day lag between when a deal starts dying and when your forecast reflects it. This isn't a CRM failure. It's a design limitation Bizwinner fills.
CFOs currently rely on CRM data that is rep-reported and structurally lagged. Bizwinner provides an independent, buyer-behavior-based signal layer that validates or contradicts CRM pipeline data in real time. This gives CFOs a second opinion on forecast quality before committing to board guidance — significantly reducing the risk of a public forecast miss.
No on both counts. Bizwinner is a read-only signal layer that sits on top of Salesforce, HubSpot, Outreach, or Gong. It does not write to your CRM, change any workflow, require rep adoption, or need IT for deployment. Your existing stack stays exactly as it is.
PE firms use Bizwinner to establish independent pipeline health monitoring across portfolio companies — a signal layer that doesn't depend on management's CRM data. During due diligence, forecast accuracy and pipeline conversion rates directly impact valuation. Bizwinner gives operating partners a verifiable signal layer that improves forecast discipline and surfaces revenue risk early.
Not yet — and we say so clearly. All projected outcomes come from a virtual pilot: our detection algorithm run against 240 deal patterns from Clari, Gong, and Pavilion benchmark datasets. These are model projections. We will only publish verified numbers once design partners run Bizwinner against live pipelines and consent to sharing results. We believe this honesty is why you should trust us.

Get In Touch

Stop losing deals
you didn't know
were dying.

You're losing deals you don't even know are at risk. We're inviting 10 revenue leaders to find out exactly which ones — and save them before the quarter ends.

One conversation. No commitment. No IT involvement. No follow-up sequence.

naga@omnigenai.io

10 design partner slots · Series Seed · Mid-Market B2B SaaS · omnigenai.io

Follow the journey · Stay close to the signal